Edge-Protected Human-Swarm Interface: Acoustic Geometry Verification, Ephemeral Tokenization, and Phonon-Damped Deepfake Mitigation for Resilient Multi-Agent Systems

This technical paper presents the terrestrial edge layer of a multi-tier secure architecture for human-swarm interaction. The framework extracts invariant geometric features of the human vocal tract to verify biological authenticity and resist generative AI voice cloning. Matrix Density Mechanics (MDM) tracks verification state inside a hardware-secured enclave. Anomalous signals trigger the Lspoof operator, collapsing coherence and routing entropy into a phonon-damped substrate. The architecture includes explicit handling for temporary physiological variations such as upper respiratory infections and supports a tiered, sustainable storage strategy compatible with orbital Space Data Centers. The design provides a physics-grounded, zero-persistence boundary ensuring secure and practical operations for the Genesis Mission 2026.